"Replicating ChatGPT Memory Functionality for Task Management and Skill Tracking" matching MCP servers:

Docker MCP ChatGPT Sandbox is a self-hosted remote MCP server for ChatGPT that runs shell commands and edits code inside a hardened Ubuntu container, with OAuth via Keycloak and optional Cloudflare Tunnel.

A private MCP server that lets ChatGPT create, manage, and operate Box by ASCII Linux environments through secure MCP tools.

A Model Context Protocol server that enables Docker container management through natural language interactions using a custom GPT interface.

Enables agent clients to safely connect to tools and execution resources through MCP with authorization, approvals, audit, chat-context isolation, SSH/Docker access, and long-running command session tracking.

A sandbox-first MCP server that enables AI agents to safely perform reverse-engineering tasks in fully isolated Docker containers, featuring zero-trust security, declarative YAML-based skills, and white-hat ethical safeguards.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

A VMware ESXi/vCenter management server based on MCP (Machine Control Protocol), providing simple REST API interfaces for virtual machine management.

Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

VMware workflow orchestration — multi-step state machine with approval gates, audit logging, and conditional execution. Coordinates cross-skill workflows like clone-and-test or compliance-scan-and-remediate across the VMware MCP skill family.

An MCP server that gives LLM agents full API access to a VMware Cloud Foundation 9.1 estate, exposing 8,931 operations through eight tools with automatic authentication, async task tracking, and write safety.

Enables management of Proxmox VE virtual environments (VMs, containers, storage, snapshots, etc.) through natural language via MCP, with async task polling for reliable write operations.

Enables self-hosted access to Synology NAS files, system monitoring, container management, and download tasks through MCP clients, with optional connectivity to ChatGPT via a secure tunnel.

A Model Context Protocol server for conducting Linux binary analysis and guest system forensics within QEMU virtual machines. It enables automated VM lifecycle management, memory dumping, and interactive debugging workflows for analyzing processes and artifacts.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

Provides programmatic access to Xcode functionality, enabling AI assistants to create, build, test, and manage iOS/macOS projects directly.

Exposes Arrakis VM sandbox functionality to LLMs, enabling sandbox management and command execution.

A Model Context Protocol server for managing cloud servers, particularly DigitalOcean droplets, allowing users to identify providers via IP addresses and perform operations like power management, status monitoring, and resource usage tracking.

Enables comprehensive DevOps infrastructure management through tools for Jenkins, Ansible, Terraform, Kubernetes, and Docker operations. Features a sophisticated memory system for context retention and provides validation, generation, and optimization capabilities across DevOps workflows.

Enables remote discovery, saved configuration management, lifecycle operations, service observation, finite logs, and durable operation tracking for Dockge stacks through an authenticated Socket.IO protocol, with write, delete, and environment actions independently permissioned.